Our AI-powered tech continuously analyzes performance and adjusts the campaign to improve results over time. By learning from past campaigns the optimizer helps maximize performance without manual intervention, making smarter, faster decisions.
What the optimizer does
The optimizer automatically:
Identifies which ad placement is driving the strongest results
Shifts ad delivery toward higher-performing opportunities
Reduces spend on underperforming audiences
Continuously adapts as performance changes
This ensures your campaign is as efficient as possible to achieve the best campaign results for your business.
Why it matters
Manual optimization can be:
Time-consuming and difficult to scale
Reactive instead of proactive
Limited by incomplete data or human bias
As campaign complexity increases it becomes harder to identify what's working, and act on it quickly. The optimizer solves this by continuously monitoring performance and making data-driven adjustments in real time.
Best practices to get the most out of the optimizer
Start broad
Allow flexibility at launch (e.g., broader publishers, geographies, and timing). This gives the model more data to learn from and improves optimization outcomes.
Maintain continuity
The optimizer learns within each line item:
Learning does not transfer across line items
Restarting a line item resets learning
Recommendation: Use fewer, longer-running line items to maximize performance gains.
Allow time to learn
Initial signals may appear within a few days
Stronger optimization typically develops over ~2 weeks
Giving the model time ensures more stable and effective optimization.